Is there a bridge to machine-learning interatomic potentials?
#269
by megansmithden - opened
Once a composition is proposed, atomistic simulation often follows. Are there any recommended hand-offs to ML potential training or evaluation workflows? Closing that loop would create a tighter discovery pipeline.
Thanks for your feedback.